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Academic Council

Item No: ________________

UNIVERSITY OF MUMBAI

Syllabus for SemV&VI

Program: Bachelor of Science

Course: Computer Science

Credit Based Semester and Grading System with

effect from

Academic Year 2018-2019

Preamble

This is the third year curriculum in the subject of Computer Science. The revised structure is

designed to transform students into technically competent, socially responsible and ethical Computer

Science professionals. In these Semesters we have made the advancements in the subject based on

the previous Semesters Knowledge.

In the first year basic foundation of important skills required for software development is laid.

Second year of this course is about studying core computer science subjects. The third year is the

further advancement which covers developing capabilities to design formulations of computing

models and its applications in diverse areas.

The proposed curriculum contains two semesters, each Semester contains two Electives: Elective-I

and II. Every Elective contains three papers based on specific areas of Computer Science. It also

includes one Skill Enhancement paper per semester, helps the student to evaluate his/her computer

science domain specific skills and also to meet industry expectations. This revised curriculum has not

only taken the specific areas of computer science into consideration but will also give the opportunity

to the student to prove his/her ability in the subject practically through the Project Implementation. In

Semester V and Semester VI student has to undertake a Project. It can boost his/her confidence and

also can encourage the student to perform innovations in the subject as the choice of the Project topic

is kept open covering most of the areas of Computer Science subject as per the students interest and

the subject they have learned during the Course.

Proposed Curriculum contains challenging and varied subjects aligned with the current trend with the

introduction of Machine Intelligence specific subject such as Artificial Intelligence, Information

Retrieval. Data Management related subjects such as Cloud Computing and Data Science. Image

processing topics such as Game Programming, Digital Image Processing. Introduction of physical

world through Architecting of IoT and Wireless Sensor Networks and Mobile Communication.

Security domain is also evolved by the introduction of Ethical Hacking, Cyber Forensic and

Information and Network Security. To get the hands on experience Linux Server Administration and

Web Services topics are included.

In essence, the objective of this syllabus is to create a pool of technologically savvy, theoretically

strong, innovatively skilled and ethically responsible generation of computer science professionals.

Hope that the teacher and student community of University of Mumbai will accept and appreciate the

efforts.

T.Y.B.Sc. (Semester V and VI)

Computer Science Syllabus

Credit Based Semester and Grading System

To be implemented from the Academic year 2018-2019

SEMESTER V

Course TOPICS Credits L / Week

Elective-I (Select Any Two)

USCS501 Artificial Intelligence 3 3

USCS502 Linux Server Administration 3 3

USCS503 Software Testing and Quality Assurance 3 3

Elective-II (Select Any Two)

USCS504 Information and Network Security 3 3

USCS505 Architecting of IoT 3 3

USCS506 Web Services 3 3

Skill Enhancement

USCS507 Game Programming 2 3

Practical

USCSP501 Practical of Elective-I 2 6

USCSP502 Practical of Elective-II 2 6

USCSP503 Project Implementation 1 3

USCSP504 Practical of Skill Enhancement : USCS507 1 3

SEMESTER VI

Course TOPICS Credits L / Week

Elective-I (Select Any Two)

USCS601 Wireless Sensor Networks and Mobile

Communication

3 3

USCS602 Cloud Computing 3 3

USCS603 Cyber Forensics 3 3

Elective-II (Select Any Two)

USCS604 Information Retrieval 3 3

USCS605 Digital Image Processing 3 3

USCS606 Data Science 3 3

Skill Enhancement

USCS607 Ethical Hacking 2 3

Practical

USCSP601 Practical of Elective-I 2 6

USCSP602 Practical of Elective-II 2 6

USCSP603 Project Implementation 1 3

USCSP604 Practical of Skill Enhancement : USCS607 1 3

SEMESTER V

THEORY

Course:

USCS501

TOPICS (Credits : 03 Lectures/Week:03)

Artificial Intelligence

Objectives:

Artificial Intelligence (AI) and accompanying tools and techniques bring transformational

changes in the world. Machines capability to match, and sometimes even surpass human

capability, make AI a hot topic in Computer Science. This course aims to introduce the learner to

this interesting area.

Expected Learning Outcomes:

After completion of this course, learner should get a clear understanding of AI and different search

algorithms used for solving problems. The learner should also get acquainted with different

learning algorithms and models used in machine learning.

Unit I

What Is AI: Foundations, History and State of the Art of AI.

Intelligent Agents: Agents and Environments, Nature of Environments,

Structure of Agents.

Problem Solving by searching: Problem-Solving Agents, Example Problems,

Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic)

Search Strategies, Heuristic Functions.

15L

Unit II

Learning from Examples: Forms of Learning, Supervised Learning, Learning

Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of

Learning, Regression and Classification with Linear Models, Artificial Neural

Networks, Nonparametric Models, Support Vector Machines, Ensemble

Learning, Practical Machine Learning

15L

Unit III

Learning probabilistic models: Statistical Learning, Learning with Complete

Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement

learning: Passive Reinforcement Learning, Active Reinforcement Learning,

Generalization in Reinforcement Learning, Policy Search, Applications of

Reinforcement Learning.

15L

Textbook(s):

1) Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig,3rd Edition,

Pearson, 2010.

Additional Reference(s):

1) Artificial Intelligence: Foundations of Computational Agents, David L Poole,Alan K.

Mackworth, 2nd Edition, Cambridge University Press ,2017.

2) Artificial Intelligence, Kevin Knight and Elaine Rich, 3rd Edition, 2017

3) The Elements of Statistical Learning, Trevor Hastie, Robert Tibshirani and Jerome Friedman,

Springer, 2013

Course:

USCS502


Linux Server Administration

Objectives:

Demonstrate proficiency with the Linux command line interface, directory & file management

techniques, file system organization, and tools commonly found on most Linux distributions.

Effectively operate a Linux system inside of a network environment to integrate with existing service

solutions. Demonstrate the ability to troubleshoot challenging technical problems typically

encountered when operating and administering Linux systems.


Learner will be able to develop Linux based systems and maintain. Learner will be able to install

appropriate service on Linux server as per requirement. Learner will have proficiency in Linux server

administration.

https://www.amazon.in/David-L.-Poole/e/B001HMKNX4/ref=dp_byline_cont_book_1



Unit I

Introduction:

Technical Summary of Linux Distributions, Managing Software

Single-Host Administration:

Managing Users and Groups, Booting and shutting down processes, File Systems,

Core System Services, Process of configuring, compiling, Linux Kernel

Networking and Security:

TCP/IP for System Administrators, basic network Configuration, Linux Firewall

(Netfilter), System and network security

15L

Unit II

Internet Services:

Domain Name System (DNS), File Transfer Protocol (FTP), Apache web server,

Simple Mail Transfer Protocol (SMTP), Post Office Protocol and Internet Mail

Access Protocol (POP and IMAP), Secure Shell (SSH), Network Authentication,

OpenLDAP Server, Samba and LDAP, Network authentication system

(Kerberos), Domain Name Service (DNS), Security

15L

Unit III

Intranet Services:

Network File System (NFS), Samba, Distributed File Systems (DFS), Network

Information Service (NIS), Lightweight Directory Access Protocol (LDAP),

Dynamic Host Configuration Protocol (DHCP), MySQL, LAMP Applications

File Servers, Email Services, Chat Applications, Virtual Private Networking.

15L

Textbook(s):

1) Linux Administration: A Beginner’s Guide, Wale Soyinka, Seventh Edition, McGraw-Hill

Education, 2016

2) Ubuntu Server Guide, Ubuntu Documentation Team, 2016


1) Mastering Ubuntu Server, Jay LaCroix, PACKT Publisher, 2016

Course:

USCS503


Software Testing and Quality Assurance

Objectives:

To provide learner with knowledge in Software Testing techniques. To understand how testing

methods can be used as an effective tools in providing quality assurance concerning for software.

To provide skills to design test case plan for testing software


Understand various software testing methods and strategies. Understand a variety of software

metrics, and identify defects and managing those defects for improvement in quality for given

software. Design SQA activities, SQA strategy, formal technical review report for software

quality control and assurance.

Unit I

Software Testing and Introduction to quality : Introduction, Nature of errors,

an example for Testing, Definition of Quality , QA, QC, QM and SQA , Software

Development Life Cycle, Software Quality Factors

Verification and Validation : Definition of V &V , Different types of V & V

Mechanisms, Concepts of Software Reviews, Inspection and Walkthrough

Software Testing Techniques : Testing Fundamentals, Test Case Design, White

Box Testing and its types, Black Box Testing and its types

15L

Unit II

Software Testing Strategies : Strategic Approach to Software Testing, Unit

Testing, Integration Testing, Validation Testing, System Testing

Software Metrics : Concept and Developing Metrics, Different types of Metrics,

Complexity metrics

Defect Management: Definition of Defects, Defect Management Process,

Defect Reporting, Metrics Related to Defects, Using Defects for Process

Improvement.

15L

Unit III

Software Quality Assurance : Quality Concepts, Quality Movement,

Background Issues, SQA activities, Software Reviews, Formal Technical

Reviews, Formal approaches to SQA, Statistical Quality Assurance, Software

Reliability, The ISO 9000 Quality Standards, , SQA Plan , Six sigma, Informal

Reviews

15L

Quality Improvement : Introduction, Pareto Diagrams, Cause-effect Diagrams,

Scatter Diagrams, Run charts

Quality Costs : Defining Quality Costs, Types of Quality Costs, Quality Cost

Measurement, Utilizing Quality Costs for Decision-Making

Textbook(s):

1. Software Engineering for Students, A Programming Approach, Douglas Bell, 4th

Edition,, Pearson Education, 2005

2. Software Engineering – A Practitioners Approach, Roger S. Pressman, 5th

Edition, Tata

McGraw Hill, 2001

3. Quality Management, Donna C. S. Summers, 5th

Edition, Prentice-Hall, 2010.

4. Total Quality Management, Dale H. Besterfield, 3rd

Edition, Prentice Hall, 2003.


1. Software engineering: An Engineering approach, J.F. Peters, W. Pedrycz , John

Wiley,2004

2. Software Testing and Quality Assurance Theory and Practice, Kshirsagar Naik,

Priyadarshi Tripathy , John Wiley & Sons, Inc. , Publication, 2008

3. Software Engineering and Testing, B. B. Agarwal, S. P. Tayal, M. Gupta, Jones and

Bartlett Publishers, 2010

Course:

USCS504


Information and Network Security

Objectives:

To provide students with knowledge of basic concepts of computer security including network

security and cryptography.


Understand the principles and practices of cryptographic techniques. Understand a variety of

generic security threats and vulnerabilities, and identify & analyze particular security problems

for a given application. Understand various protocols for network security to protect against the

threats in a network

Unit I

Introduction: Security Trends, The OSI Security Architecture, Security

Attacks, Security Services, Security Mechanisms

Classical Encryption Techniques: Symmetric Cipher Model, Substitution

Techniques, Transposition Techniques, Steganography, Block Cipher

Principles, The Data Encryption Standard, The Strength of DES, AES (round

details not expected), Multiple Encryption and Triple DES, Block Cipher

Modes of Operation, Stream Ciphers

Public-Key Cryptography and RSA: Principles of Public-Key

Cryptosystems, The RSA Algorithm

15L

Unit II

Key Management: Public-Key Cryptosystems, Key Management,

Diffie-Hellman Key Exchange

Message Authentication and Hash Functions: Authentication Requirements,

Authentication Functions, Message Authentication Codes, Hash Functions,

Security of Hash Functions and Macs, Secure Hash Algorithm, HMAC

Digital Signatures and Authentication: Digital Signatures, Authentication

Protocols, Digital Signature Standard

Authentication Applications: Kerberos, X.509 Authentication, Public-Key

Infrastructure

15L

Unit III

Electronic Mail Security: Pretty Good Privacy, S/MIME

IP Security: Overview, Architecture, Authentication Header, Encapsulating

Security Payload, Combining Security Associations, Key Management

Web Security: Web Security Considerations, Secure Socket Layer and

Transport Layer Security, Secure Electronic Transaction

Intrusion: Intruders, Intrusion Techniques, Intrusion Detection

Malicious Software: Viruses and Related Threats, Virus Countermeasures,

DDOS

Firewalls: Firewall Design Principles, Types of Firewalls

15L

Textbook(s):

1) Cryptography and Network Security: Principles and Practice 5th Edition, William

Stallings, Pearson,2010


1) Cryptography and Network Security, Atul Kahate, Tata McGraw-Hill, 2013.

2) Cryptography and Network, Behrouz A Fourouzan, Debdeep Mukhopadhyay, 2nd

Edition,TMH,2011

Course:

USCS505


Architecting of IoT

Objectives:

Discovering the interconnection and integration of the physical world. Learner should get knowledge

of the architecture of IoT.


Learners are able to design & develop IoT Devices. They should also be aware of the evolving world of

M2M Communications and IoT analytics.

Unit I

IoT-An Architectural Overview: Building architecture, Main design principles

and needed capabilities, An IoT architecture outline, standards considerations.

IoT Architecture-State of the Art : Introduction, State of the art, Reference

Model and architecture, IoT reference Model - IoT Reference Architecture

Introduction, Functional View, Information View, Deployment and Operational

View, Other Relevant architectural views

15L

Unit II

IoT Data Link Layer and Network Layer Protocols:

PHY/MAC Layer(3GPP MTC, IEEE 802.11, IEEE 802.15), Wireless

HART,Z-Wave, Bluetooth Low Energy, Zigbee Smart Energy DASH7

Network Layer:IPv4, IPv6, 6LoWPAN, 6TiSCH,ND, DHCP, ICMP, RPL,

CORPL, CARP

15L

Unit III

Transport layer protocols :

Transport Layer (TCP, MPTCP, UDP, DCCP, SCTP)-(TLS, DTLS)

Session layer:

Session Layer-HTTP, CoAP, XMPP, AMQP, MQTT

Service layer protocols:

Service Layer -oneM2M, ETSI M2M, OMA, BBF

15L

Textbook(s):

1. From Machine-to-Machine to the Internet of Things: Introduction to a New Age of

Intelligence, Jan Holler, Vlasios Tsiatsis, Catherine Mulligan, Stefan Avesand, Stamatis

Karnouskos, David Boyle,1st Edition, Academic Press, 2014.

2. Learning Internet of Things, Peter Waher, PACKT publishing, BIRMINGHAM –

MUMBAI,2015

Additional References(s):

1. Building the Internet of Things with IPv6 and MIPv6: The Evolving World of M2M

Communications, Daniel Minoli, Wiley Publications,2013

2. Internet of Things (A Hands-onApproach), Vijay Madisetti and ArshdeepBahga,1st Edition,

VPT, 2014.

3. http://www.cse.wustl.edu/~jain/cse570-15/ftp/iot_prot/index.html

Course:

USCS506


Web Services

Objectives:

To understand the details of web services technologies like SOAP, WSDL, and UDDI. To learn

how to implement and deploy web service client and server. To understand the design principles

and application of SOAP and REST based web services (JAX-Ws and JAX-RS).To understand

WCF service. To design secure web services and QoS of Web Services


Emphasis on SOAP based web services and associated standards such as WSDL. Design SOAP

based / RESTful / WCF services Deal with Security and QoS issues of Web Services

Unit I

Web services basics :

What Are Web Services? Types of Web Services Distributed computing

infrastructure, overview of XML, SOAP, Building Web Services with

JAX-WS, Registering and Discovering Web Services, Service Oriented

Architecture, Web Services Development Life Cycle, Developing and

consuming simple Web Services across platform

15L

Unit II

The REST Architectural style :

Introducing HTTP, The core architectural elements of a RESTful system,

Description and discovery of RESTful web services, Java tools and

frameworks for building RESTful web services, JSON message format and

tools and frameworks around JSON, Build RESTful web services with

JAX-RS APIs, The Description and Discovery of RESTful Web Services,

Design guidelines for building RESTful web services, Secure RESTful web

services

15L

Unit III

Developing Service-Oriented Applications with WCF :

What Is Windows Communication Foundation, Fundamental Windows

Communication Foundation Concepts, Windows Communication Foundation

Architecture, WCF and .NET Framework Client Profile, Basic WCF

Programming, WCF Feature Details. Web Service QoS

15L

Textbook(s):

1) Web Services: Principles and Technology, Michael P. Papazoglou, Pearson Education

Limited, 2008

2) RESTful Java Web Services, Jobinesh Purushothaman, PACKT Publishing,2nd

Edition, 2015

3) Developing Service-Oriented Applications with WCF, Microsoft, 2017

https://docs.microsoft.com/en-us/dotnet/framework/wcf/index


1) Leonard Richardson and Sam Ruby, RESTful Web Services, O’Reilly, 2007

2) The Java EE 6Tutorial, Oracle, 2013

Course:

USCS507

TOPICS (Credits : 03 Lectures/Week: 03)

Game Programming

Objectives:

Learner should get the understanding computer Graphics programming using Directx or Opengl.

Along with the VR and AR they should also aware of GPU, newer technologies and programming

using most important API for windows.


Learner should study Graphics and gamming concepts with present working style of developers where

everything remains on internet and they need to review it, understand it, be a part of community and

learn.

Unit I

Mathematics for Computer Graphics, DirectX Kickstart:

Cartesian Coordinate system: The Cartesian XY-plane, Function Graphs,

Geometric Shapes, Polygonal Shapes, Areas of Shapes, Theorem of Pythagoras

in 2D, Coordinates, Theorem of Pythagoras in 3D, 3D Polygons, Euler’s Rule

Vectors: Vector Manipulation, multiplying a Vector by a Scalar, Vector

Addition and Subtraction, Position Vectors, Unit Vectors, Cartesian Vectors,

Vector Multiplication, Scalar Product, Example of the Dot Product, The Dot

Product in Lighting Calculations, The Dot Product in Back-Face Detection, The

Vector Product, The Right-Hand Rule, deriving a Unit Normal Vector for a

Triangle Areas, Calculating 2D Areas

Transformations: 2D Transformations, Matrices, Homogeneous Coordinates,

3D Transformations, Change of Axes, Direction Cosines, rotating a Point about

an Arbitrary Axis, Transforming Vectors, Determinants, Perspective Projection,

Interpolation

DirectX: Understanding GPU and GPU architectures. How they are different

from CPU Architectures? Understanding how to solve by GPU?

15L

Unit II

DirectX Pipeline and Programming:

Introduction To DirectX 11: COM, Textures and Resources Formats, The

swap chain and Page flipping, Depth Buffering, Texture Resource Views,

Multisampling Theory and MS in Direct3D, Feature Levels

Direct3D 11 Rendering Pipeline: Overview, Input Assembler Stage (IA),

Vertex Shader Stage (VS), The Tessellation Stage (TS), Geometry Shader Stage

(GS), Pixel Shader Stage (PS), Output merger Stage (OM)

Understanding Meshes or Objects, Texturing, Lighting, Blending.

Interpolation and Character Animation:

Trigonometry: The Trigonometric Ratios, Inverse Trigonometric Ratios,

Trigonometric Relationships, The Sine Rule, The Cosine Rule, Compound

Angles, Perimeter Relationships

Interpolation: Linear Interpolant, Non-Linear Interpolation, Trigonometric

Interpolation, Cubic Interpolation, Interpolating Vectors, Interpolating

Quaternions

Curves: Circle, Bezier, B-Splines

Analytic Geometry: Review of Geometry, 2D Analytic Geometry, Intersection

Points, Point in Triangle, and Intersection of circle with straight line.

15L

Unit III

Introduction to Rendering Engines: Understanding the current market

Rendering Engines. Understanding AR, VR and MR.Depth Mappers, Mobile

Phones, Smart Glasses, HMD’s

Unity Engine: Multi-platform publishing, VR + AR: Introduction and

working in Unity, 2D, Graphics, Physics, Scripting, Animation, Timeline,

Multiplayer and Networking, UI, Navigation and Pathfinding, XR, Publishing.

Scripting: Scripting Overview, Scripting Tools and Event Overview

XR: VR, AR, MR, Conceptual Differences. SDK, Devices

15L

Text Book(s):

1) Mathematics for Computer Graphics, John Vince, Springer-Verlag London, 5th

Edition,2017

2) Mathematics for 3D Game Programming and Computer Graphic, Eric Lengyel, Delmar

Cengage Learning, Delmar Cengage Learning,2011

3) Introduction To 3D Game Programming With Directx® 11,Frank D Luna, Mercury Learning

And Information,2012.

4) https://docs.unity3d.com/Manual/index.html - Free


1) Computer Graphics, C Version, Donald Hern and Pauline Baker, Pearson Education, 2nd

Edition, 1997

2) HLSL Development Cookbook, Doron Feinstein, PACKT Publishing,2013

Suggested List of Practical- SEMESTER V

Course:

USCSP501

(Credits : 02 Lectures/Week: 06)

Practical of Elective-I

USCS501: Artificial Intelligence

Practical shall be implemented in LISP

1. Implement Breadth first search algorithm for Romanian map problem.

2. Implement Iterative deep depth first search for Romanian map problem.

3. Implement A* search algorithm for Romanian map problem.

4. Implement recursive best-first search algorithm for Romanian map problem.

5. Implement decision tree learning algorithm for the restaurant waiting problem.

6. Implement feed forward back propagation neural network learning algorithm for the restaurant

waiting problem.

7. Implement Adaboost ensemble learning algorithm for the restaurant waiting problem.

8. Implement Naive Bayes’ learning algorithm for the restaurant waiting problem.

9. Implement passive reinforcement learning algorithm based on adaptive dynamic programming

(ADP) for the 3 by 4 world problem

10. Implement passive reinforcement learning algorithm based on temporal differences (TD) for 3

by 4 world problem.

USCS502: Linux Server Administration

- Practical shall be performed using any Linux Server (with 8GB RAM).

- Internet connection will be required so that Linux server (command line mode) can be connected

to Internet.

1. Install DHCP Server in Ubuntu 16.04

2. Initial settings: Add a User, Network Settings, Change to static IP address, Disable IPv6 if not

needed, Configure Services, display the list of services which are running, Stop and turn OFF

auto-start setting for a service if you don’t need it, Sudo Settings

3. Configure NTP Server (NTPd), Install and Configure NTPd, Configure NTP Client (Ubuntu

and Windows)

4. SSH Server : Password Authentication

Configure SSH Server to manage a server from the remote computer, SSH Client : (Ubuntu and

Windows)

5. Install DNS Server BIND, Configure DNS server which resolves domain name or IP address,

Install BIND 9, Configure BIND, Limit ranges you allow to access if needed.

6. Configure DHCP Server, Configure DHCP (Dynamic Host Configuration Protocol) Server,

Configure NFS Server to share directories on your Network, Configure NFS Client. (Ubuntu

and Windows Client OS)

7. Configure LDAP Server, Configure LDAP Server in order to share users' accounts in your local

networks, Add LDAP User Accounts in the OpenLDAP Server, Configure LDAP Client in

order to share users' accounts in your local networks. Install phpLDAPadmin to operate LDAP

server via Web browser.

8. Configure NIS Server in order to share users' accounts in your local networks, Configure NIS

Client to bind NIS Server.

9. Install MySQL to configure database server, Install phpMyAdmin to operate MySQL on web

browser from Clients.

10. Install Samba to share folders or files between Windows and Linux.

USCS503: Software Testing and Quality Assurance

1. Install Selenium IDE; Write a test suite containing minimum 4 test cases for different formats.

2. Conduct a test suite for any two web sites.

3. Install Selenium server (Selenium RC) and demonstrate it using a script in Java/PHP.

4. Write and test a program to login a specific web page.

5. Write and test a program to update 10 student records into table into Excel file

6. Write and test a program to select the number of students who have scored more than 60 in any

one subject (or all subjects).

7. Write and test a program to provide total number of objects present / available on the page.

8. Write and test a program to get the number of items in a list / combo box.

9. Write and test a program to count the number of check boxes on the page checked and

unchecked count.

10. Load Testing using JMeter, Android Application testing using Appium Tools, Bugzilla Bug

tracking tools.

Course:

USCSP502


Practical of Elective-II

USCS504: Information and Network security

1.Write programs to implement the following Substitution Cipher Techniques:

- Caesar Cipher

- Monoalphabetic Cipher

2 Write programs to implement the following Substitution Cipher Techniques:

- Vernam Cipher

- Playfair Cipher

3 Write programs to implement the following Transposition Cipher Techniques:

- Rail Fence Cipher

- Simple Columnar Technique

4 Write program to encrypt and decrypt strings using

- DES Algorithm

- AES Algorithm

5 Write a program to implement RSA algorithm to perform encryption / decryption of a given

string.

6 Write a program to implement the Diffie-Hellman Key Agreement algorithm to generate

symmetric keys.

7 Write a program to implement the MD5 algorithm compute the message digest.

8 Write a program to calculate HMAC-SHA1 Signature

9 Write a program to implement SSL.

10 Configure Windows Firewall to block:

- A port

- An Program

- A website

USCS505: Architecting of IoT

1. a) Edit text files with nano and cat editor, Learn sudo privileges and Unix shell

commands such as cd , ls , cat, etc

b) Learn to set dynamic and static IP. Connect to and Ethernet and WiFi network.

Learn to vnc and ssh into a raspberry pi using vnc and putty from a different computer on the network.

c) Write a basic bash script to open programs in kiosk mode. Learn how to autostart

programs on boot.

2. Run the node red editor and run simple programs and trigger gpios. Use basic nodes

such as inject, debug, gpio

3. Open the python idle editor and run simple Python scripts such as to print Fibonacci

numbers, string functions. Learn how to install modules using Pip and write functions

4. Setup a physical button switch and trigger an led in node red and python w debounce

5. Write simple JavaScript functions in Node-Red simple HTTP server page using node red

6. Setup a TCP server and client on a raspberry pi using Python modules to send

messages and execute shell commands from within python such as starting another

application

7. Trigger a set of led Gpios on the pi via a Python Flask web server

8. Interface the raspberry pi with a 16x2 LCD display and print values.

9. Setup a Mosquitto MQTT server and client and write a Python script to communicate data

between Pi's.

10. Interface with an Accelerometer Gyro Mpu6050 on the i2c bus and send sensor values over the

internet via mqtt.

USCS506: Web Services

1. Write a program to implement to create a simple web service that converts the temperature

from Fahrenheit to Celsius and vice a versa.

2. Write a program to implement the operation can receive request and will return a response in

two ways. a) One - Way operation b) Request –Response

3. Write a program to implement business UDDI Registry entry.

4. Develop client which consumes web services developed in different platform.

5. Write a JAX-WS web service to perform the following operations. Define a Servlet / JSP that

consumes the web service.

6. Define a web service method that returns the contents of a database in a JSON string. The

contents should be displayed in a tabular format.

7. Define a RESTful web service that accepts the details to be stored in a database and performs

CRUD operation.

8. Implement a typical service and a typical client using WCF.

9. Use WCF to create a basic ASP.NET Asynchronous JavaScript and XML (AJAX) service.

10. Demonstrates using the binding attribute of an endpoint element in WCF.

Course:

USCSP503


Project Implementation

Please Refer to Project Implementation Guidelines

Course:

USCSP504


Practical of Skill Enhancement

USCS507 : Game Programming

1. Setup DirectX 11, Window Framework and Initialize Direct3D Device

2. Buffers, Shaders and HLSL (Draw a triangle using Direct3D 11)

3. Texturing (Texture the Triangle using Direct 3D 11)

4. Lightning (Programmable Diffuse Lightning using Direct3D 11)

5. Specular Lightning (Programmable Spot Lightning using Direct3D 11)

6. Loading models into DirectX 11 and rendering.

Perform following Practical using online content from the Unity Tutorials Web--sites:

https://unity3d.com/learn/tutorials/s/interactive-tutorials

7. https://unity3d.com/learn/tutorials/s/2d-ufo-tutorial

8. https://unity3d.com/learn/tutorials/s/space-shooter-tutorial

9. https://unity3d.com/learn/tutorials/s/roll-ball-tutorial

10. https://unity3d.com/learn/tutorials/topics/vr/introduction?playlist=22946

SEMESTER VI

THEORY

Course:

USCS601


Wireless Sensor Networks and Mobile Communication

Objectives:

In this era of wireless and adhoc network, connecting different wireless devices and understanding

their compatibility is very important. Information is gathered in many different ways from these

devices. Learner should be able to conceptualize and understand the framework. On completion, will

be able to have a firm grip over this very important segment of wireless network.


After completion of this course, learner should be able to list various applications of wireless sensor

networks, describe the concepts, protocols, design, implementation and use of wireless sensor

networks. Also implement and evaluate new ideas for solving wireless sensor network design issues.

Unit I

Introduction: Introduction to Sensor Networks, unique constraints and

challenges.

Advantage of Sensor Networks, Applications of Sensor Networks,

Mobile Adhoc NETworks (MANETs) and Wireless Sensor Networks,

Enabling technologies for Wireless Sensor Networks.

Sensor Node Hardware and Network Architecture: Single-node

architecture, Hardware components & design constraints, Operating

systems and execution environments, introduction to TinyOS and nesC.

Network architecture, Optimization goals and figures of merit, Design

principles for WSNs, Service interfaces of WSNs, Gateway concepts.

15L

Unit II

Medium Access Control Protocols: Fundamentals of MAC Protocols,

MAC Protocols for WSNs, Sensor-MAC Case Study.

Routing Protocols : Data Dissemination and Gathering, Routing

Challenges and Design Issues in Wireless

Sensor Networks, Routing Strategies in Wireless Sensor Networks.

Transport Control Protocols : Traditional Transport Control Protocols,

15L

Transport Protocol Design Issues, Examples of Existing Transport

Control Protocols, Performance of Transport Control Protocols.

Unit III

Introduction, Wireless Transmission and Medium Access Control:

Applications, A short history of wireless communication.

Wireless Transmission: Frequency for radio transmission, Signals,

Antennas, Signal propagation, Multiplexing, Modulation, Spread

spectrum, Cellular systems.

Telecommunication, Satellite and Broadcast Systems: GSM: Mobile

services, System architecture, Radio interface, Protocols, Localization

And Calling, Handover, security, New data services; DECT: System

architecture, Protocol architecture; ETRA, UMTS and IMT- 2000.

Satellite Systems: History, Applications, Basics: GEO, LEO, MEO;

Routing, Localization, Handover.

15L

Textbook(s):

1) Protocols and Architectures for Wireless Sensor Network, Holger Kerl, Andreas Willig,

John Wiley and Sons, 2005

2) Wireless Sensor Networks Technology, Protocols, and Applications ,Kazem Sohraby,

Daniel Minoli and TaiebZnati, John Wiley & Sons, 2007

3) Mobile communications, Jochen Schiller,2nd

Edition, Addison wisely , Pearson

Education,2012


1) Fundamentals of Wireless Sensor Networks, Theory and Practice, Waltenegus Dargie,

Christian Poellabauer , Wiley Series on wireless Communication and Mobile Computing,

2011

2) Networking Wireless Sensors, Bhaskar Krishnamachari , Cambridge University Press, 2005

Course:

USCS602


Cloud Computing

Objectives:

To provide learners with the comprehensive and in-depth knowledge of Cloud Computing concepts,

technologies, architecture, implantations and applications. To expose the learners to frontier areas of

Cloud Computing, while providing sufficient foundations to enable further study and research.


After successfully completion of this course, learner should be able to articulate the main concepts, key

technologies, strengths, and limitations of cloud computing and the possible applications for

state-of-the-art cloud computing using open source technology. Learner should be able to identify the

architecture and infrastructure of cloud computing, including SaaS, PaaS, IaaS, public cloud, private

cloud, hybrid cloud, etc. They should explain the core issues of cloud computing such as security,

privacy, and interoperability.

Unit I

Introduction to Cloud Computing, Characteristics and benefits of Cloud

Computing, Basic concepts of Distributed Systems, Web 2.0, Service-Oriented

Computing, Utility-Oriented Computing. Elements of Parallel Computing.

Elements of Distributed Computing. Technologies for Distributed Computing.

Cloud Computing Architecture. The cloud reference model. Infrastructure as a

service. Platform as a service. Software as a service. Types of clouds.

15L

Unit II

Characteristics of Virtualized Environments. Taxonomy of Virtualization

Techniques. Virtualization and Cloud Computing. Pros and Cons of

Virtualization. Virtualization using KVM, Creating virtual machines, oVirt -

management tool for virtualization environment. Open challenges of Cloud

Computing

15L

Unit III

Introduction to OpenStack, OpenStack test-drive, Basic OpenStack operations,

OpenStack CLI and APIs, Tenant model operations, Quotas, Private cloud

building blocks, Controller deployment, Networking deployment, Block Storage

deployment, Compute deployment, deploying and utilizing OpenStack in

production environments, Building a production environment, Application

orchestration using OpenStack Heat

15L

Textbook(s):

1) Mastering Cloud Computing, Rajkumar Buyya, Christian Vecchiola, S Thamarai Selvi, Tata

McGraw Hill Education Private Limited, 2013

2) OpenStack in Action, V. K. CODY BUMGARDNER, Manning Publications Co, 2016


1) OpenStack Essentials, Dan Radez, PACKT Publishing, 2015

2) OpenStack Operations Guide, Tom Fifield, Diane Fleming, Anne Gentle, Lorin Hochstein,

Jonathan Proulx, Everett Toews, and Joe Topjian, O'Reilly Media, Inc., 2014

3) https://www.openstack.org

Course:

USCS603

TOPICS (Credits :03 Lectures/Week:03)

Cyber Forensics

Objectives:

To understand the procedures for identification, preservation, and extraction of electronic evidence,

auditing and investigation of network and host system intrusions, analysis and documentation of

information gathered

Expected Learning Outcomes :

The student will be able to plan and prepare for all stages of an investigation - detection, initial

response and management interaction, investigate various media to collect evidence, report them in a

way that would be acceptable in the court of law.

Unit I

Computer Forensics :

Introduction to Computer Forensics and standard procedure, Incident

Verification and System Identification ,Recovery of Erased and damaged data,

Disk Imaging and Preservation, Data Encryption and Compression, Automated

Search Techniques, Forensics Software

Network Forensic :

Introduction to Network Forensics and tracking network traffic, Reviewing

Network Logs, Network Forensics Tools, Performing Live Acquisitions, Order

of Volatility, Standard Procedure

Cell Phone and Mobile Device Forensics: Overview, Acquisition Procedures

for Cell Phones and Mobile Devices

15L

Unit II

Internet Forensic :

Introduction to Internet Forensics, World Wide Web Threats, Hacking and

Illegal access, Obscene and Incident transmission, Domain Name Ownership

Investigation, Reconstructing past internet activities and events

E-mail Forensics : e-mail analysis, e-mail headers and spoofing, Laws against

e-mail Crime, Messenger Forensics: Yahoo Messenger

Social Media Forensics: Social Media Investigations

Browser Forensics: Cookie Storage and Analysis, Analyzing Cache and

temporary internet files, Web browsing activity reconstruction

15L

Unit III

Investigation, Evidence presentation and Legal aspects of Digital Forensics:

Authorization to collect the evidence , Acquisition of Evidence, Authentication

of the evidence, Analysis of the evidence, Reporting on the findings, Testimony

Introduction to Legal aspects of Digital Forensics: Laws & regulations,

Information Technology Act, Giving Evidence in court, Case Study – Cyber

Crime cases, Case Study – Cyber Crime cases

15L

Textbook(s):

1. Guide to computer forensics and investigations, Bill Nelson, Amelia Philips and Christopher

Steuart, course technology,5th Edition,2015


2. Incident Response and computer forensics, Kevin Mandia, Chris Prosise, Tata

McGrawHill,2nd

Edition,2003

Course:

USCS604


Information Retrieval

Objectives:

To provide an overview of the important issues in classical and web information retrieval. The focus

is to give an up-to- date treatment of all aspects of the design and implementation of systems for

gathering, indexing, and searching documents and of methods for evaluating systems.


After completion of this course, learner should get an understanding of the field of information

retrieval and its relationship to search engines. It will give the learner an understanding to apply

information retrieval models.

Unit I

Introduction to Information Retrieval: Introduction, History of IR,

Components of IR, and Issues related to IR, Boolean retrieval,

Dictionaries and tolerant retrieval.

15L

Unit II

Link Analysis and Specialized Search: Link Analysis, hubs and

authorities, Page Rank and HITS algorithms, Similarity, Hadoop & Map

Reduce, Evaluation, Personalized search, Collaborative filtering and

content-based recommendation of documents and products, handling

“invisible” Web, Snippet generation, Summarization, Question

Answering, Cross- Lingual Retrieval.

15L

Unit III

Web Search Engine: Web search overview, web structure, the user, paid

placement, search engine optimization/spam, Web size measurement,

search engine optimization/spam, Web Search Architectures.

XML retrieval: Basic XML concepts, Challenges in XML retrieval, A

vector space model for XML retrieval, Evaluation of XML retrieval,

Text-centric versus data-centric XML retrieval.

15L

Text book(s):

1) Introduction to Information Retrieval, C. Manning, P. Raghavan, and H. Schütze,

Cambridge University Press, 2008

2) Modern Information Retrieval: The Concepts and Technology behind Search, Ricardo Baeza

-Yates and Berthier Ribeiro – Neto, 2nd

Edition, ACM Press Books 2011.

3) Search Engines: Information Retrieval in Practice, Bruce Croft, Donald Metzler and Trevor

Strohman, 1st Edition, Pearson, 2009.


1) Information Retrieval Implementing and Evaluating Search Engines, Stefan Büttcher,

Charles L. A. Clarke and Gordon V. Cormack, The MIT Press; Reprint edition (February 12,

2016)

Course:

USCS605


Digital Image Processing

Objectives:

To study two-dimensional Signals and Systems. To understand image fundamentals and transforms

necessary for image processing. To study the image enhancement techniques in spatial and frequency

domain. To study image segmentation and image compression techniques.


Learner should review the fundamental concepts of a digital image processing system. Analyze the

images in the frequency domain using various transforms. Evaluate the techniques for image

enhancement and image segmentation. Apply various compression techniques. They will be familiar

with basic image processing techniques for solving real problems.

Unit I

Introduction to Image-processing System : Introduction, Image Sampling,

Quantization, Resolution, Human Visual Systems, Elements of an

Image-processing System, Applications of Digital Image Processing

2D Signals and Systems : 2D signals, separable sequence, periodic sequence,

2D systems, classification of 2D systems, 2D Digital filter

Convolution and Correlation : 2D Convolution through graphical method,

Convolution through 2D Z—transform, 2D Convolution through matrix

analysis, Circular Convolution, Applications of Circular Convolution, 2D

Correlation

Image Transforms: Need for transform, image transforms, Fourier transform,

2D Discrete Fourier Transform, Properties of 2D DFT, Importance of Phase,

Walsh transform, Hadamard transform, Haar transform, Slant transform,

Discrete Cosine transform, KL transform

15L

Unit II

Image Enhancement :Image Enhancement in spatial domain, Enhancement

trough Point operations, Histogram manipulation, Linear and nonlinear Gray

Level Transformation, local or neighborhood operation, Median Filter, Spatial

domain High pass filtering, Bit-plane slicing, Image Enhancement in frequency

domain, Homomorphic filter, Zooming operation, Image Arithmetic

15L

Binary Image processing :Mathematical morphology, Structuring elements,

Morphological image processing, Logical operations, Morphological

operations, Dilation and Erosion, Distance Transform

Colour Image processing :Colour images, Colour Model, Colour image

quantization, Histogram of a colour image

Unit III

Image Segmentation: Image segmentation techniques, Region approach,

Clustering techniques, Thresholding, Edge-based segmentation, Edge detection,

Edge Linking, Hough Transform

Image Compression: Need for image compression, Redundancy in images,

Image-compression scheme, Fundamentals of Information Theory, Run-length

coding, Shannon-Fano coding, Huffman Coding, Arithmetic Coding,

Transform-based compression, Image-compression standard

15L

Textbook(s):

1) Digital Image Processing, S Jayaraman, S Esakkirajan, T Veerakumar,Tata McGraw-Hill

Education Pvt. Ltd., 2009


1) Digital Image Processing 3rd Edition, Rafael C Gonzalez, Richard E Woods, Pearson, 2008

2) Scilab Textbook Companion for Digital Image Processing, S. Jayaraman, S. Esakkirajan And

T. Veerakumar, 2016 (https://scilab.in/textbook_companion/generate_book/125)

Course:

USCS606


Data Science

Objectives:

Understanding basic data science concepts. Learning to detect and diagnose common data issues,

such as missing values, special values, outliers, inconsistencies, and localization. Making aware of

how to address advanced statistical situations, Modeling and Machine Learning.


After completion of this course, the students should be able to understand & comprehend the

problem; and should be able to define suitable statistical method to be adopted.

Unit I Introduction to Data Science: What is Data? Different kinds of data, 15L

Introduction to high level programming language + Integrated Development

Environment (IDE), Exploratory Data Analysis (EDA) + Data Visualization,

Different types of data sources,

Data Management: Data Collection, Data cleaning/extraction, Data analysis &

Modeling

Unit II

Data Curation: Query languages and Operations to specify and transform data,

Structured/schema based systems as users and acquirers of data

Semi-structured systems as users and acquirers of data, Unstructured systems in

the acquisition and structuring of data, Security and ethical considerations in

relation to authenticating and authorizing access to data on remote systems,

Software development tools, Large scale data systems, Amazon Web Services

(AWS)

15L

Unit III

Statistical Modelling and Machine Learning:

Introduction to model selection: Regularization, bias/variance tradeoff e.g.

parsimony, AIC, BIC, Cross validation, Ridge regressions and penalized

regression e.g. LASSO

Data transformations: Dimension reduction, Feature extraction, Smoothing

and aggregating

Supervised Learning: Regression, linear models, Regression trees, Time-series

Analysis, Forecasting, Classification: classification trees, Logistic regression,

separating hyperplanes, k-NN

Unsupervised Learning: Principal Components Analysis (PCA), k-means

clustering, Hierarchical clustering, Ensemble methods

15L

Textbook(s):

1) Doing Data Science, Rachel Schutt and Cathy O’Neil, O’Reilly,2013

2) Mastering Machine Learning with R, Cory Lesmeister, PACKT Publication,2015


1) Hands-On Programming with R, Garrett Grolemund,1st Edition, 2014

2) An Introduction to Statistical Learning, James, G., Witten, D., Hastie, T., Tibshirani,

R.,Springer,2015

Course:

USCS607


Ethical Hacking

Objectives:

To understand the ethics, legality, methodologies and techniques of hacking.


Learner will know to identify security vulnerabilities and weaknesses in the target applications.

They will also know to test and exploit systems using various tools and understand the impact of

hacking in real time machines.

Unit I

Information Security : Attacks and Vulnerabilities

Introduction to information security : Asset, Access Control, CIA,

Authentication, Authorization, Risk, Threat, Vulnerability, Attack, Attack

Surface, Malware, Security-Functionality-Ease of Use Triangle

Types of malware :Worms, viruses, Trojans, Spyware, Rootkits

Types of vulnerabilities : OWASP Top 10 : cross-site scripting (XSS), cross

site request forgery (CSRF/XSRF), SQL injection, input parameter

manipulation, broken authentication, sensitive information disclosure, XML

External Entities, Broken access control, Security Misconfiguration, Using

components with known vulnerabilities, Insufficient Logging and monitoring,

OWASP Mobile Top 10, CVE Database

Types of attacks and their common prevention mechanisms : Keystroke

Logging, Denial of Service (DoS /DDoS), Waterhole attack, brute force,

phishing and fake WAP, Eavesdropping, Man-in-the-middle, Session Hijacking,

Clickjacking, Cookie Theft, URL Obfuscation, buffer overflow, DNS poisoning,

ARP poisoning, Identity Theft, IoT Attacks, BOTs and BOTNETs

Case-studies : Recent attacks – Yahoo, Adult Friend Finder, eBay, Equifax,

WannaCry, Target Stores, Uber, JP Morgan Chase, Bad Rabbit

15L

Unit II

Ethical Hacking – I (Introduction and pre-attack)

Introduction: Black Hat vs. Gray Hat vs. White Hat (Ethical) hacking, Why is

Ethical hacking needed?, How is Ethical hacking different from security

auditing and digital forensics?, Signing NDA, Compliance and Regulatory

15L

concerns, Black box vs. White box vs. Black box, Vulnerability assessment and

Penetration Testing.

Approach : Planning - Threat Modeling, set up security verification standards,

Set up security testing plan – When, which systems/apps, understanding

functionality, black/gray/white, authenticated vs. unauthenticated, internal vs.

external PT, Information gathering, Perform Manual and automated (Tools:

WebInspect/Qualys, Nessus, Proxies, Metasploit) VA and PT, How

WebInspect/Qualys tools work: Crawling/Spidering, requests forging, pattern

matching to known vulnerability database and Analyzing results, Preparing

report, Fixing security gaps following the report

Enterprise strategy : Repeated PT, approval by security testing team,

Continuous Application Security Testing,

Phases: Reconnaissance/foot-printing/Enumeration, Phases: Scanning, Sniffing

Unit III

Ethical Hacking :Enterprise Security

Phases : Gaining and Maintaining Access : Systems hacking – Windows and

Linux – Metasploit and Kali Linux, Keylogging, Buffer Overflows, Privilege

Escalation, Network hacking - ARP Poisoning, Password Cracking, WEP

Vulnerabilities, MAC Spoofing, MAC Flooding, IPSpoofing, SYN Flooding,

Smurf attack, Applications hacking : SMTP/Email-based attacks, VOIP

vulnerabilities, Directory traversal, Input Manipulation, Brute force attack,

Unsecured login mechanisms, SQL injection, XSS, Mobile apps security,

Malware analysis : Netcat Trojan, wrapping definition, reverse engineering

Phases : Covering your tracks : Steganography, Event Logs alteration

Additional Security Mechanisms : IDS/IPS, Honeypots and evasion

techniques, Secure Code Reviews (Fortify tool, OWASP Secure Coding

Guidelines)

15L

Textbook(s):

1) Certified Ethical Hacker Study Guide v9, Sean-Philip Oriyano, Sybex; Study Guide

Edition,2016

2) CEH official Certified Ethical Hacking Review Guide, Wiley India Edition, 2007


1) Certified Ethical Hacker: Michael Gregg, Pearson Education,1st Edition, 2013

2) Certified Ethical Hacker: Matt Walker, TMH,2011

3) http://www.pentest-standard.org/index.php/PTES_Technical_Guidelines

4) https://www.owasp.org/index.php/Category:OWASP_Top_Ten_2017_Project

5) https://www.owasp.org/index.php/Mobile_Top_10_2016-Top_10

6) https://www.owasp.org/index.php/OWASP_Testing_Guide_v4_Table_of_Contents

7) https://www.owasp.org/index.php/OWASP_Secure_Coding_Practices_-_Quick_Reference_

Guide

8) https://cve.mitre.org/

9) https://access.redhat.com/blogs/766093/posts/2914051

10) http://resources.infosecinstitute.com/applications-threat-modeling/#gref

11) http://www.vulnerabilityassessment.co.uk/Penetration%20Test.html

Suggested List of Practical – SEMESTER VI

Course:

USCSP601

(Credits : 02 Lectures/Week:06)

Practical of Elective-I

USCS601: Wireless Sensor Networks and Mobile Communication

Practical experiments require software tools like INET Framework for OMNeT++, NetSim ,

TOSSIM, Cisco packet tracer 6.0 and higher version.

1. Understanding the Sensor Node Hardware. (For Eg. Sensors, Nodes(Sensor mote), Base Station,

Graphical User Interface.)

2. Exploring and understanding TinyOS computational concepts:- Events, Commands and Task.

- nesC model

- nesC Components

3. Understanding TOSSIM for

- Mote-mote radio communication

- Mote-PC serial communication

4. Create and simulate a simple adhoc network

5. Understanding, Reading and Analyzing Routing Table of a network.

6. Create a basic MANET implementation simulation for Packet animation and Packet Trace.

7. Implement a Wireless sensor network simulation.

8. Create MAC protocol simulation implementation for wireless sensor Network.

9. Simulate Mobile Adhoc Network with Directional Antenna

10. Create a mobile network using Cell Tower, Central Office Server, Web browser and Web Server.

Simulate connection between them.

USCS602: Cloud Computing

1. Study and implementation of Infrastructure as a Service.

2. Installation and Configuration of virtualization using KVM.

3. Study and implementation of Infrastructure as a Service

4. Study and implementation of Storage as a Service

5. Study and implementation of identity management

6. Study Cloud Security management

7. Write a program for web feed.

8. Study and implementation of Single-Sing-On.

9. User Management in Cloud.

10. Case study on Amazon EC2/Microsoft Azure/Google Cloud Platform

USCS603: Cyber Forensics

1. Creating a Forensic Image using FTK Imager/Encase Imager :

- Creating Forensic Image

- Check Integrity of Data

- Analyze Forensic Image

2. Data Acquisition:

- Perform data acquisition using:

- USB Write Blocker + Encase Imager

- SATA Write Blocker + Encase Imager

- Falcon Imaging Device

3. Forensics Case Study:

- Solve the Case study (image file) provide in lab using Encase Investigator or Autopsy

4. Capturing and analyzing network packets using Wireshark (Fundamentals) :

- Identification the live network

- Capture Packets

- Analyze the captured packets

5. Analyze the packets provided in lab and solve the questions using Wireshark :

- What web server software is used by www.snopes.com?

- About what cell phone problem is the client concerned?

- According to Zillow, what instrument will Ryan learn to play?

- How many web servers are running Apache?

- What hosts (IP addresses) think that jokes are more entertaining when they are explained?

6. Using Sysinternals tools for Network Tracking and Process Monitoring :

- Check Sysinternals tools

http://www.snopes.com/

- Monitor Live Processes

- Capture RAM

- Capture TCP/UDP packets

- Monitor Hard Disk

- Monitor Virtual Memory

- Monitor Cache Memory

7. Recovering and Inspecting deleted files

- Check for Deleted Files

- Recover the Deleted Files

- Analyzing and Inspecting the recovered files

Perform this using recovery option in ENCASE and also Perform manually through command

line

8. Acquisition of Cell phones and Mobile devices

9. Email Forensics

- Mail Service Providers

- Email protocols

- Recovering emails

- Analyzing email header

10. Web Browser Forensics

- Web Browser working

- Forensics activities on browser

- Cache / Cookies analysis

- Last Internet activity

Course:

USCSP602

(Credits : 02 Lectures/Week:06)

Practical of Elective-II

USCS604: Information Retrieval

Practical may be done using software/tools like Python / Java / Hadoop

1. Write a program to demonstrate bitwise operation.

2. Implement Page Rank Algorithm.

3. Implement Dynamic programming algorithm for computing the edit distance between

strings s1 and s2. (Hint. Levenshtein Distance)

4. Write a program to Compute Similarity between two text documents.

5. Write a map-reduce program to count the number of occurrences of each alphabetic

character in the given dataset. The count for each letter should be case-insensitive (i.e.,

include both upper-case and lower-case versions of the letter; Ignore non-alphabetic

characters).

6. Implement a basic IR system using Lucene.

7. Write a program for Pre-processing of a Text Document: stop word removal.

8. Write a program for mining Twitter to identify tweets for a specific period and identify

trends and named entities.

9. Write a program to implement simple web crawler.

10. Write a program to parse XML text, generate Web graph and compute topic specific page

rank.

USCS605: Digital Image Processing

Practical need to be performed using Scilab under Linux or Windows

1. 2D Linear Convolution, Circular Convolution between two 2D matrices

2. Circular Convolution expressed as linear convolution plus alias

3. Linear Cross correlation of a 2D matrix, Circular correlation between two signals and Linear auto

correlation of a 2D matrix, Linear Cross correlation of a 2D matrix

4. DFT of 4x4 gray scale image

5. Compute discrete cosine transform, Program to perform KL transform for the given 2D matrix

6. Brightness enhancement of an image, Contrast Manipulation, image negative

7. Perform threshold operation, perform gray level slicing without background

8. Image Segmentation

9. Image Compression

10. Binary Image Processing and Colour Image processing

USCS606:Data Science

Practical shall be performed using R

1. Practical of Data collection, Data curation and management for Unstructured data (NoSQL)

2. Practical of Data collection, Data curation and management for Large-scale Data system (such as

MongoDB)

3. Practical of Principal Component Analysis

4. Practical of Clustering

5. Practical of Time-series forecasting

6. Practical of Simple/Multiple Linear Regression

7. Practical of Logistics Regression

8. Practical of Hypothesis testing

9. Practical of Analysis of Variance

10. Practical of Decision Tree

Course:

USCSP603


Project Implementation

Please Refer to Project Implementation Guidelines

Course:

USCSP604


Practical of Skill Enhancement

USCS607 : Ethical Hacking

1. Use Google and Whois for Reconnaissance

2. a) Use CrypTool to encrypt and decrypt passwords using RC4 algorithm

b) Use Cain and Abel for cracking Windows account password using Dictionary attack and to

decode wireless network passwords

3. a) Run and analyze the output of following commands in Linux – ifconfig, ping, netstat,

traceroute

b) Perform ARP Poisoning in Windows

4. Use NMap scanner to perform port scanning of various forms – ACK, SYN, FIN, NULL, XMAS

5. a) Use Wireshark (Sniffer) to capture network traffic and analyze

b) Use Nemesy to launch DoS attack

6. Simulate persistent cross-site scripting attack

7. Session impersonation using Firefox and Tamper Data add-on

8. Perform SQL injection attack

9. Create a simple keylogger using python

10. Using Metasploit to exploit (Kali Linux)

Project Implementation Guidelines

1. A learner is expected to carry out two different projects: one in Semester V and another in

Semester VI.

2. A learner can choose any topic which is covered in Semester I- semester VI or any other

topic with the prior approval from head of the department/ project in charge.

3. The Project has to be performed individually.

4. A learner is expected to devote around three months of efforts in the project.

5. The project can be application oriented/web-based/database/research based.

6. It has to be an implemented work; just theoretical study will not be acceptable.

7. A learner can choose any programming language, computational techniques and tools

which have been covered during BSc course or any other with the prior permission of

head of the department/ project guide.

8. A project guide should be assigned to a learner. He/she will assign a schedule for the

project and hand it over to a learner. The guide should oversee the project progress on a

weekly basis by considering the workload of 3 lectures as assigned.

9. The quality of the project will be evaluated based on the novelty of the topic, scope of the

work, relevance to the computer science, adoption of emerging techniques/technologies

and its real-world application.

10. A learner has to maintain a project report with the following subsections

a) Title Page

b) Certificate

A certificate should contain the following information –

- The fact that the student has successfully completed the project as per the syllabus

and that it forms a part of the requirements for completing the BSc degree in

computer science of University of Mumbai.

- The name of the student and the project guide

- The academic year in which the project is done

- Date of submission,

- Signature of the project guide and the head of the department with date along with

the department stamp,

- Space for signature of the university examiner and date on which the project is

evaluated.

c) Self-attested copy of Plagiarism Report from any open source tool.

d) Index Page detailing description of the following with their subsections:

- Title: A suitable title giving the idea about what work is proposed.

- Introduction: An introduction to the topic giving proper back ground of the topic.

- Requirement Specification: Specify Software/hardware/data requirements.

- System Design details : Methodology/Architecture/UML/DFD/Algorithms/protocols etc.

used(whichever is applicable)

- System Implementation: Code implementation

- Results: Test Cases/Tables/Figures/Graphs/Screen shots/Reports etc.

- Conclusion and Future Scope: Specify the Final conclusion and future scope

- References: Books, web links, research articles, etc.

11. The size of the project report shall be around twenty to twenty five pages, excluding the

code.

12. The Project report should be submitted in a spiral bound form

13. The Project should be certified by the concerned Project guide and Head of the

department.

14. A learner has to make a presentation of working project and will be evaluated as per the

Project evaluation scheme

Scheme of Examination

1. Theory:

I. Internal 25 Marks :

a) Test – 20 Marks

20 marks Test – Duration 40 mins

It will be conducted either using any open source learning management system like Moodle

(Modular object-oriented dynamic learning environment)

OR

A test based on an equivalent online course on the contents of the concerned course (subject)

offered by or build using MOOC (Massive Open Online Course) platform.

b) 5 Marks – Active participation in routine class instructional deliveries

Overall conduct as a responsible student, manners, skill in articulation,

leadership qualities demonstrated through organizing co-curricular

activities, etc.

II. External 75 Marks as per University Guidelines

11. Practical and Project Examination:

There will be separate Practical examination for Elective-I, II, Skill enhansement and project of these

Elective-I 100, Elective-II: 100 and Skill Enhansement: 50 and Project Implementation: 50.

In the Practical Examination of Elective-I and II, the student has to perform practical on each of the

subjects chosen. The Marking Scheme for each of the Elective is given below:

Subject

Code

Experiment-I Experiment-II Total

Marks

Elective-I USCSP501/

USCSP601

Experiment-40+Journal-5

+viva-5

Total:50M

Experiment-40+Journal-5+viva-

5

Total:50M

100 M

Elective-II USCSP502/

USCSP602

Experiment-40+Journal-5

+viva-5

Total:50M

Experiment-40+Journal-5+viva-

5

Total:50M

100 M

http://en.wikipedia.org/wiki/Modular

http://en.wikipedia.org/wiki/Modular

http://en.wikipedia.org/wiki/Dynamic_programming

http://en.wikipedia.org/wiki/Dynamic_programming

Project

Implement

ation

USCSP503/

USCSP603

**Project Evaluation Scheme 50M

Skill

Enhancem

ent

USCSP504/

USCSP604

Experiment-40+Journal:5+viva-5

Total-50M

50M

Total Marks 300M

(Certified Journal is compulsory for appearing at the time of Practical Examination)

**Project Evaluation Scheme:

Presentation Working of the

Project

Quality of the

Project

Viva Documentation

10Marks 10 Marks 10 Marks 10 Marks 10Marks

(Certified Project Document is compulsory for appearing at the time of Project Presentation)

***********************************

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